Prosecutorial Discretion in Assisted Dying in Canada: A Proposal for Charging Guidelines
Bibliographic record
Abstract
An Expert Panel of the Royal Society of Canada and a Select Committee of the Québec National Assembly both recently recommended the issuance of permissive guidelines for the exercise of prosecutorial discretion on voluntary euthanasia and assisted suicide and “medical aid in dying” respectively. It seems timely, therefore, to propose a set of offence-specific guidelines for how prosecutorial discretion should be exercised in cases of voluntary euthanasia and assisted suicide in Canadian provinces and territories. We take as our starting point the only existing guidelines of this sort currently in force in the world (i.e. the British Columbia Guidelines, and the England and Wales Guidelines). In light of certain concerns we have with these guidelines, we outline an approach to constructing guidelines for Canadian jurisdictions that begins with identifying three guiding principles we argue are appropriate for this purpose (respect for autonomy, the need for high-quality prosecutorial decision making, and the importance of public confidence in that decision making), and ends with a concrete and detailed set of proposed guidelines. The paper is consistent with, but also extends, the work of the Royal Society Canada Expert Panel on End of Life Decision Making.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.074 | 0.143 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.024 | 0.020 |
| Scholarly communication | 0.023 | 0.010 |
| Open science | 0.013 | 0.008 |
| Research integrity | 0.048 | 0.027 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".